Patents by Inventor Charles Christopher Walker

Charles Christopher Walker has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Natural language processing with missing tokens in a corpus
    Patent number: 11687723
    Abstract: Text blocks are semantically compared, and a semantic score is provided to a user. The semantic score is based on application of a machine learning model trained on a text corpus. One or both of the two text blocks may have one or more words that do not appear in the training text corpus (skip-words). Skip-words are used, rather than discarded, to adjust the semantic score via, for example, a penalization function. The user provides feedback about the accuracy of the adjusted semantic score, and the feedback is used to perform supervised learning model.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: June 27, 2023
    Assignee: International Business Machines Corporation
    Inventors: Raj Nagesh, Charles Christopher Walker, Kriteshwar Kaur Kohli
  • Demonstrating textual dissimilarity in response to apparent or asserted similarity
    Patent number: 11321526
    Abstract: A system identifies a first text fragment as being under evaluation, wherein the first text is in at least a first document being compared to a second document using a first semantic model. The system compares the first text fragment to one or more text fragments of the second document. The system identifies top-k text fragments in the second document that are most similar to the first text fragment based on processing using the first semantic model. The system presents a user, via a graphical user interface (GUI), the top-k text fragments in visual proximity to the first text fragment.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Rob Bean, Alexis Nicole Hatzis Liakas, Anthony Mauricio Pallone, Reza Sarbakhsh, Kriteshwar Kaur Kohli, Charles Christopher Walker, Raj Nagesh
  • NATURAL LANGUAGE PROCESSING WITH MISSING TOKENS IN A CORPUS
    Publication number: 20210294979
    Abstract: Text blocks are semantically compared, and a semantic score is provided to a user. The semantic score is based on application of a machine learning model trained on a text corpus. One or both of the two text blocks may have one or more words that do not appear in the training text corpus (skip-words). Skip-words are used, rather than discarded, to adjust the semantic score via, for example, a penalization function. The user provides feedback about the accuracy of the adjusted semantic score, and the feedback is used to perform supervised learning model.
    Type: Application
    Filed: March 23, 2020
    Publication date: September 23, 2021
    Inventors: Raj Nagesh, Charles Christopher Walker, Kriteshwar Kaur Kohli
  • DEMONSTRATING TEXTUAL DISSIMILARITY IN RESPONSE TO APPARENT OR ASSERTED SIMILARITY
    Publication number: 20210294973
    Abstract: A system identifies a first text fragment as being under evaluation, wherein the first text is in at least a first document being compared to a second document using a first semantic model. The system compares the first text fragment to one or more text fragments of the second document. The system identifies top-k text fragments in the second document that are most similar to the first text fragment based on processing using the first semantic model. The system presents a user, via a graphical user interface (GUI), the top-k text fragments in visual proximity to the first text fragment.
    Type: Application
    Filed: March 23, 2020
    Publication date: September 23, 2021
    Inventors: Rob Bean, Alexis Nicole Hatzis Liakas, Anthony Mauricio Pallone, Reza Sarbakhsh, Kriteshwar Kaur Kohli, Charles Christopher Walker, Raj Nagesh